pins
pins keeps adding a storage backend per release while retiring its original API
A side-by-side editorial comparison of haven and Seurat — release velocity, themes, recent moves, and the top alternatives to consider.
haven's release cadence has narrowed to compiler and R-devel upkeep.
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
Seurat's centre of gravity has moved from single cells to spatial data and on-disk matrices
Seurat is the dominant R toolkit for single-cell analysis, and the 5.x line reads as two ongoing projects. One is spatial: successive releases absorb each new 10x output format - Visium HD, Xenium protein data, Space Ranger 4.0 segmentations - and add plotting and selection tools for them. The other is scale, where BPCells on-disk matrices keep gaining support in functions that previously required everything in memory.
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
Development has shifted from extending the file-format surface to keeping a C dependency compiling against newer toolchains. The deprecation of write_sas() narrowed that surface deliberately, steering users to write_xpt() because the sas7bdat format is undocumented and unsupported upstream.
Expect further ReadStat sync releases triggered by compiler or R-devel breakage rather than new format support or writing features.
Seurat is the dominant R toolkit for single-cell analysis, and the 5.x line reads as two ongoing projects. One is spatial: successive releases absorb each new 10x output format - Visium HD, Xenium protein data, Space Ranger 4.0 segmentations - and add plotting and selection tools for them. The other is scale, where BPCells on-disk matrices keep gaining support in functions that previously required everything in memory.
Both projects are driven from outside. The spatial work tracks whatever 10x ships, which is why data loaders and coordinate handling get rewritten release after release; the BPCells work tracks dataset sizes that no longer fit in RAM. Clustering and dimensionality reduction, the parts Seurat actually owns, change mainly by exposing more of uwot's and igraph's options rather than by new method development.
Expect the next release to absorb whatever instrument output 10x publishes next, and BPCells support to keep spreading into the functions that still densify matrices; the interactive spatial selection tooling looks like the one area with room to grow on its own terms.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either haven or Seurat.
pins keeps adding a storage backend per release while retiring its original API
tsibble shipped one release in five and a half years - the data structure is finished
yardstick made fairness metrics a first-class part of tidymodels evaluation
tune extends tuning past the model itself to postprocessors, and adds a second parallel backend
leaflet relicensed to MIT and finished migrating off R's retired spatial stack
ggpubr reached 1.0.0 with p-value formatting presets for specific journals
See all haven alternatives → · See all Seurat alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. haven and Seurat are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haven and Seurat are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top haven alternatives in Analytics are ranked by recent ship velocity. Browse the "haven alternatives" section above for the current picks, or visit /alternatives/haven for the full list with editorial commentary on each.
Top Seurat alternatives in Analytics are ranked by recent ship velocity. Browse the "Seurat alternatives" section above for the current picks, or visit /alternatives/seurat for the full list with editorial commentary on each.